1. Deploy the helm-state-metrics helm chart on Google Kubernetes Engine (GKE)


    To deploy the helm-state-metrics Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi, we need to perform a few high-level steps:

    1. Create a GKE Cluster: First, we'll set up a GKE cluster, which will act as the Kubernetes environment where our Helm chart will be deployed.

    2. Deploy the Helm Chart: Once the cluster is ready, we'll deploy the helm-state-metrics chart to the GKE cluster.

    Let's break down these steps into Pulumi code. We'll use the following Pulumi resources:

    • google-native.container/v1beta1.Cluster: To create the GKE cluster.
    • kubernetes.helm.sh/v3.Release: To deploy the Helm chart on our GKE cluster.

    Here's a Pulumi program written in TypeScript to achieve our goal:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; const projectName = pulumi.getProject(); const config = new pulumi.Config(); // Step 1: Creating a GKE cluster const gkeCluster = new gcp.container.Cluster("helm-state-metrics-gke-cluster", { initialNodeCount: 1, // Define the machine type and other node configuration nodeConfig: { machineType: "n1-standard-1", // or any other preferred type oauthScopes: [ "https://www.googleapis.com/auth/compute", "https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring" ] } }); // Step 2: Deploying the Helm chart const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: gkeCluster.kubeConfigRaw, }); const helmRelease = new k8s.helm.v3.Release("helm-state-metrics", { chart: "helm-exporter", repositoryOpts: { repo: "https://prometheus-community.github.io/helm-charts", }, version: "0.1.1", // Specify the version of the chart you wish to deploy }, { provider: k8sProvider }); // Export the Kubeconfig and Helm Release status export const kubeConfig = gkeCluster.kubeConfigRaw; export const helmReleaseStatus = helmRelease.status;


    • GKE Cluster: We start by creating an instance of gcp.container.Cluster which creates a GKE cluster. We set initialNodeCount to 1, indicating the number of nodes for the GKE cluster. The nodeConfig includes machine type and the OAuth scopes necessary for the node instances.

    • Helm Release: We then create a k8s.helm.v3.Release to deploy the helm-state-metrics Helm chart using the kubeconfig provided by the GKE cluster we just created.

    • Exported Outputs: Finally, we export the kubeConfig and helmReleaseStatus. You can use the kubeconfig to manage your Kubernetes cluster using kubectl or other Kubernetes tools.

    Next Steps

    To run this program:

    1. Ensure you have Pulumi installed and configured with GCP access.
    2. Create a new directory, change into it, and run pulumi new typescript.
    3. Replace the contents of index.ts with the code provided above.
    4. Run pulumi up to deploy your GKE cluster and the helm-state-metrics Helm chart.

    Pulumi will perform the deployment, and once done, you can manage the cluster using the outputted kubeconfig file. Please be aware of GCP costs associated with running resources and the Pulumi Service pricing if you use the Pulumi SaaS backend.